Top Entry Level Jobs in Boston, MA

The Business Development Representative role is responsible for supporting Mirakl’s growth and digital marketplace business. The posting provides limited role-specific duties or qualification requirements, but the position likely involves identifying and engaging prospective customers, supporting sales development activities, and contributing to the company’s global commercial goals.

Support revenue operations by sourcing and enriching account and contact data, maintaining data quality, developing sales forecasting and pipeline models, identifying operational inefficiencies, and contributing to process improvements. Collaborate with Sales, Business Development, Marketing, Partnerships, Enablement, and Finance teams to optimize go-to-market execution and platform capabilities.

Develop and test C++ and Python software, embedded firmware, autonomy features, simulation tools, and testing infrastructure for UAV systems. Work with sensors, perception, planning, mission systems, and real or simulated data. Investigate failures using logs and telemetry, support hardware- and software-in-the-loop integration, collaborate with multidisciplinary engineering teams, document workflows, and participate in code reviews and design discussions.

Participate in a five-and-a-half-month applied AI and analytics co-op building production-ready solutions for real business problems. Responsibilities include data gathering and preparation, AI prompt and workflow design, dashboard and model development, trend analysis, workflow automation, agentic prototype development, data-quality improvement, and presenting recommendations to stakeholders. Co-ops work onsite at least three days weekly and collaborate with technical and business leaders across SharkNinja.

Supports data science teams by cleaning and processing structured and unstructured data, engineering features, executing and monitoring machine learning pipelines, generating insights, investigating trends and risks, and collaborating with senior data scientists and business analysts. The role requires a current MIT quantitative-field bachelor's student working 10–20 hours weekly in the continental United States.

The Controller oversees hotel financial compliance, GAAP adherence, internal controls, budgeting, forecasting, and financial planning. They review and approve sales, purchasing, payroll, and expense transactions, advise hotel leadership on profitability, and supervise, coach, and develop the finance team.

Own global customer operations across bookings, billing, quote-to-cash, onboarding, offboarding, licensing, renewals, and partner order processing. Manage operational KPIs, escalations, audit controls, data integrity, and cross-functional automation initiatives. Lead and develop a two-person operations team while supporting Sales, Customer Success, Finance, Legal, IT, and channel partners.

Lead the design and delivery of complex distributed systems and high-impact product initiatives for Toast’s Catering & Events platform. Own critical architecture, drive technical strategy, improve scalability and reliability, mentor engineers, establish engineering best practices, and collaborate with Product and Design. The role also involves applying AI tools to improve developer productivity and enable new capabilities.

Coordinates post-sales customer support for enterprise and service-provider accounts. Leads case-status calls, tracks customer network plans, reviews performance trends, manages technical and non-technical escalations, and advocates for customers across HPE teams. Requires networking knowledge, customer-facing experience, strong communication and leadership skills, and willingness to travel up to 15%.

Manages post-closing mortgage servicing and documentation operations, including MERS assignments, collateral custody, releases, document tracking, exception resolution, audits, reporting, and regulatory compliance. Leads direct reports, establishes procedures and SLAs, supports process improvement, coordinates with custodians and vendors, researches collateral issues, and provides operational guidance to business partners. Ensures accurate, timely fulfillment of mortgage documentation requests while meeting investor, state, regulatory, and internal quality requirements.

Designs conceptual, logical, and physical data models for R&D research and clinical domains. Translates scientific and business requirements into reusable, scalable, AI-ready data structures that support analytics, machine learning, data integration, and standardized workflows. Partners with domain experts, data engineers, architects, data scientists, and governance teams to apply enterprise standards, schemas, ontologies, metadata, quality rules, and lineage. Promotes shared data assets and ensures models are implementable, interoperable, and aligned with evolving R&D needs.